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Shopify Data Science Jobs (NOW HIRING)

Formlabs

Digital Systems Engineer

Somerville, MA · On-site

$188K - $223K/yr

Build and maintain integrations between Shopify, Salesforce, NetSuite (ERP), BigQuery (data ... Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent ...

Formlabs

Digital Systems Engineer

Somerville, MA · On-site

$188K - $223K/yr

Build and maintain integrations between Shopify, Salesforce, NetSuite (ERP), BigQuery (data ... Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent ...

TechStyle, Inc.

Software Engineer

El Segundo, CA · On-site

$100K - $130K/yr

This role will focus on Shopify store development, website performance, API integrations, third ... Bachelor's degree in computer science, Software Engineering, Information Systems, or a related ...

TechStyle, Inc.

Software Engineer

El Segundo, CA · On-site

$100K - $130K/yr

This role will focus on Shopify store development, website performance, API integrations, third ... Bachelor's degree in computer science, Software Engineering, Information Systems, or a related ...

standvast

Customer Integrations Engineer

Columbia, MD · On-site

$103K - $138K/yr

... integrating Shopify and/or Netsuite * Excellent written and spoken communication skills ... Background in finance, data science, supply chain * Ability to organize and and lead customers ...

MAP

VP, CRM analytics

Austin, TX · On-site

... Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our ... Join our team as VP, Analytics - CRM/martech and lead our major client's analytics, data science ...

Hevo Data

Senior Director, Sales Engineering

... Shopify, Gartner, Iceland AIR, Arhaus, Thoughtspot, and Postman. By automating complex data ... Data Science, Data Warehouse, Cloud, Analytics, and/or Business Intelligence experience would be ...

Auctane

Full Stack Software Engineer

Austin, TX · On-site

Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart. Our ... You'll collaborate with product managers, designers, data scientists, and fellow engineers to ...

OpenAI

Growth Lead, SMB Ads

San Francisco, CA · On-site

$284K - $315K/yr

We partner closely with Product, Engineering, Data Science, Sales, Partnerships, Finance ... Reddit,, Shopify, Square, Intuit, HubSpot, or similar. * Have experience with advertiser ...

Helios WorldWide

Web Developer

Santa Monica, CA · Remote

Job Title: Web Developer (Webflow & Shopify) ForgeWerks | Place Employment Type: Contractor ... Set up and track website performance metrics to provide data-driven insights. * Standards Advocacy:

Helios WorldWide

Web Developer

Santa Monica, CA · On-site +1

Job Title: Web Developer (Webflow & Shopify) ForgeWerks | Place Employment Type: Contractor ... Set up and track website performance metrics to provide data-driven insights. * Standards Advocacy:

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Showing results 1-20

All JobsShopify Data Science Jobs

Shopify Data Science information

See salary details

$44.5K

$129.7K

$177.5K

How much do shopify data science jobs pay per year?

As of Jul 16, 2026, the average yearly pay for shopify data science in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Data scientists, including those working in e-commerce and platforms like Shopify, can earn $300,000 or more at senior levels or in high-demand markets, especially with extensive experience, advanced skills in machine learning, and strong business impact. Compensation varies based on location, company size, and individual expertise, with top-tier professionals often earning this level through bonuses and stock options.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Machine Learning Director, or Chief Data Officer, with salaries exceeding $150,000 annually. These roles typically require advanced skills in machine learning, big data tools, and strategic decision-making, often combined with extensive experience and leadership responsibilities.

What is a Shopify Data Scientist?

A Shopify Data Scientist is a professional who analyzes data from the Shopify platform to provide insights that help businesses make informed decisions. They work with large datasets, using statistical methods, machine learning, and data visualization to uncover trends, optimize store performance, and improve customer experiences. Shopify Data Scientists may focus on areas such as sales analysis, customer behavior, marketing effectiveness, or inventory management. Their work helps merchants identify opportunities for growth and efficiency. They typically have strong skills in programming, statistics, and e-commerce analytics.

What is the difference between Shopify Data Science vs Shopify Data Analysis?

AspectShopify Data ScienceShopify Data Analysis
Required SkillsAdvanced statistical, programming, and machine learning skillsData interpretation, reporting, and visualization skills
Work FocusDeveloping predictive models and algorithmsAnalyzing data sets to generate insights
Tools & TechnologiesPython, R, SQL, machine learning frameworksExcel, Tableau, SQL, data visualization tools
Industry UsageUsed in product recommendations, personalization, and predictive analyticsUsed in reporting, dashboards, and business decision support

Shopify Data Science roles focus on building models and algorithms to predict customer behavior and optimize platform features, requiring advanced technical skills. Shopify Data Analysis positions concentrate on interpreting data to inform business decisions, emphasizing visualization and reporting. Both roles are essential in e-commerce analytics but differ in technical complexity and focus areas.

How do Shopify Data Scientists typically collaborate with product and engineering teams during a project?

Shopify Data Scientists work closely with both product managers and engineers throughout the product development lifecycle. They help define project goals using data-driven insights, design experiments to test features, and analyze results to guide product decisions. Regular meetings, paired work sessions, and shared dashboards are common ways they stay aligned across teams. This collaborative approach ensures that data science solutions are practical, scalable, and directly tied to business objectives.

What are the key skills and qualifications needed to thrive as a Shopify Data Scientist, and why are they important?

To thrive as a Shopify Data Scientist, you need a strong background in statistics, data analysis, programming (typically Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Looker), SQL databases, and machine learning frameworks is commonly required, along with experience using Shopify’s data tools and APIs. Strong problem-solving abilities, business acumen, and effective communication skills help convey insights and collaborate with cross-functional teams. These skills ensure you can extract meaningful trends from complex datasets, drive data-driven decisions, and add value to Shopify’s business operations.

Is 40 too late for data science?

Age is not a barrier to entering data science roles, including Shopify Data Science positions. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Employers value experience and skills over age, making it possible to start or switch careers at 40 or older.

Is it hard to get a Shopify job?

Getting a Shopify data science position can be competitive and typically requires strong analytical skills, experience with data analysis tools like SQL and Python, and familiarity with e-commerce platforms. Candidates often need relevant education, a solid portfolio, and sometimes certifications to stand out. The difficulty varies based on experience level and the specific role's requirements.
What job categories do people searching Shopify Data Science jobs look for? The top searched job categories for Shopify Data Science jobs are:
Shopify Data Science jobs near you
Infographic showing various Shopify Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Principal - Architecture (AI, Unified Commerce)

Principal - Architecture (AI, Unified Commerce)

Gap Inc.

San Francisco, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Gap rating

6.8

Company rating: 6.8 out of 10

Based on 275 frontline employees who took The Breakroom Quiz

27th of 104 rated fashion retailers

Job description

About Gap Inc.

At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture.

Our portfolio—Old Navy, Gap, Banana Republic, and Athleta—each brings a distinct point of view to how we show up in the world and serve our customers.

Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality. Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel. Athleta champions the Power of She through confidence, strength, and movement.

We’re driven by a shared purpose: to bridge gaps—between people, perspectives, and possibilities—to create a better world.

We’re building a team that performs at a high level—people who think boldly, take ownership, and turn ideas into impact. If you’re ready to learn fast and help shape what’s next, you’ll fit right in.

About the role

As a senior leader within the Architecture Group under the CTO Organization, the Principal Architect – AI, Connected Commerce / OMNI-Channel will drive the vision, design, and execution of an integrated technology architecture that powers seamless, intelligent, and personalized customer experiences across all digital and physical touchpoints.This role spans strategic domains—Digital, Retail Stores, Supply Chain, Customer Data, eCommerce, Marketing, and Fulfillment—and serves as a critical change agent, enabling Connected and Agentic Commerce. The architect will influence enterprise-wide technology modernization, blueprints, and AI-driven commerce initiatives to unlock growth, improve customer satisfaction, and drive operational efficiency.This position plays a pivotal role in integrating AI-powered decisioning, personalization, and commerce agents into the technology landscape to support proactive, autonomous, and context- aware experiences.

What you'll do
  • Champion the use of Agentic Commerce patterns—autonomous shopping agents, proactive assistant bots, and AI-driven fulfillment orchestration—to create frictionless, next-gen shopping experiences.
  • Design intelligent, AI-augmented experiences that integrate predictive personalization, dynamic pricing, virtual styling, conversational commerce, and autonomous checkout journeys.
  • Integrate commerce ecosystems with real-time decision engines, customer data platforms (CDPs), recommendation systems, and AI models to drive adaptive journeys.
  • Partner with product, engineering, and data science teams to implement AI across the customer lifecycle—from acquisition and engagement to loyalty and retention.
  • Define architectural principles to scale AI/ML use cases, leveraging cloud-native platforms (GCP, AWS), serverless models, and data mesh strategies.
  • Architect future-ready, omnichannel commerce platforms supporting unified experiences such as BOPIS, Same-day Delivery, and Endless Aisle.
  • Ensure architecture enables real-time signals processing (e.g., clickstream, IoT, POS), contextual understanding, and action-triggering across commerce surfaces.
  • Lead architectural reviews and governance for AI-based and connected commerce projects.
  • Guide experimentation with GenAI, LLMs, and autonomous agents in commerce, marketing, and fulfillment use cases.
  • Collaborate with data, privacy, and compliance teams to align AI-powered experiences with data governance and ethical AI frameworks.
Who you are
  • Bachelor’s degree in computer science, Engineering, or related field; Master’s preferred.
  • 10+ years of architecture, with at least 5+ years in commerce or omnichannel large scale transformation roles.
  • Demonstrated experience architecting and delivering commerce platforms across:
  • Headless eCommerce (Shopify, Salesforce Commerce, etc.)
  • Digital Experience Platforms (CMS, DAM, PIM)
  • Customer Data Platforms (CDPs), Loyalty & Personalization Engines
  • Retail POS, OMS, and Fulfillment Systems
  • Deep knowledge of cloud-native architectures, microservices, event-driven systems (Kafka, GCP Pub/Sub), and serverless patterns.
  • Experience integrating AI/ML services into customer-facing applications, preferably in real-time or large-scale environments
  • Experience with Agentic AI frameworks or commerce focused LLMs.
  • Familiarity with AI platforms like Vertex AI, Amazon Bedrock, Azure OpenAI, or
    similar.
  • Working knowledge of data pipelines, model deployment (MLOps), and experimentation platforms.
  • Exposure to composable commerce and MACH (Microservices, API-first, Cloud-native, Headless) architecture.
  • Retail, CPG, or DTC brand experience with personalization and omnichannel
    engagement initiative
  • Strategic mindset with a strong grasp of emerging tech and its impact on business.
  • Excellent communication and storytelling skills—especially around complex AI and tech-driven business value.
  • Ability to balance short-term business needs with long-term Gap’s Architecture vision.
  • Highly collaborative with a passion for innovation, experimentation, and user-centered design.
  • Comfortable driving clarity and structure in ambiguous and fast-moving environments

Salary Range: $209,700.00 - $272,600.00
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

Benefits at Gap Inc.
  • Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.
  • One of the most competitive Paid Time Off plans in the industry.*
  • Employees can take up to five “on the clock” hours each month to volunteer at a charity of their choice.*
  • Extensive 401(k) plan with company matching for contributions up to four percent of an employee’s base pay.*
  • Employee stock purchase plan.*
  • Medical, dental, vision and life insurance.*
  • See more of the benefits we offer.

*For eligible employees

Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

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